PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-08-05 10:22:37.511172+00:00 (UTC)
In US/Central Time, this is 2024-08-05 05:22:37.511172-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/325282d1e1702eb4a3c2152e8e1d50de0f70c2425901b85ed6e2d6f1a5a1e434.png
We are just generating a random time serie here.
../_images/0786b2848feed72539522c96c4f89a51bf0b94bef16edd6329718148e06df5b5.png
../_images/d17e45c2bd3f7c673d63e750170d3930e4b1ce9a703149b7e40a0297fd040c61.png